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mrT23
2023-12-05 08:28:59 -08:00
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3
INSTALL.md
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@ -292,7 +292,8 @@ docker push codiumai/pr-agent:github_app # Push to your Docker repository
``` ```
4. Create a lambda function that uses the uploaded image. Set the lambda timeout to be at least 3m. 4. Create a lambda function that uses the uploaded image. Set the lambda timeout to be at least 3m.
5. Configure the lambda function to have a Function URL. 5. Configure the lambda function to have a Function URL.
6. Go back to steps 8-9 of [Method 5](#run-as-a-github-app) with the function url as your Webhook URL. 6. In the environment variables of the Lambda function, specify `AZURE_DEVOPS_CACHE_DIR` to a writable location such as /tmp. (see [link](https://github.com/Codium-ai/pr-agent/pull/450#issuecomment-1840242269))
7. Go back to steps 8-9 of [Method 5](#run-as-a-github-app) with the function url as your Webhook URL.
The Webhook URL would look like `https://<LAMBDA_FUNCTION_URL>/api/v1/github_webhooks` The Webhook URL would look like `https://<LAMBDA_FUNCTION_URL>/api/v1/github_webhooks`
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10
requirements.txt
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@ -1,8 +1,8 @@
aiohttp==3.8.4 aiohttp==3.9.1
atlassian-python-api==3.39.0 atlassian-python-api==3.39.0
azure-devops==7.1.0b3 azure-devops==7.1.0b3
boto3==1.33.1 boto3==1.33.6
dynaconf==3.1.12 dynaconf==3.2.4
fastapi==0.99.0 fastapi==0.99.0
GitPython==3.1.32 GitPython==3.1.32
google-cloud-aiplatform==1.35.0 google-cloud-aiplatform==1.35.0
@ -16,10 +16,10 @@ pinecone-client
pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main pinecone-datasets @ git+https://github.com/mrT23/pinecone-datasets.git@main
pytest==7.4.0 pytest==7.4.0
PyGithub==1.59.* PyGithub==1.59.*
PyYAML==6.0 PyYAML==6.0.1
python-gitlab==3.15.0 python-gitlab==3.15.0
retry==0.9.2 retry==0.9.2
starlette-context==0.3.6 starlette-context==0.3.6
tiktoken==0.4.0 tiktoken==0.5.2
ujson==5.8.0 ujson==5.8.0
uvicorn==0.22.0 uvicorn==0.22.0